Canadian Securities Course (CSC) Level 2 Practice Exam 2025 – 400 Free Practice Questions to Pass the Exam

Quantitative Analysis is fundamentally characterized by its reliance on numerical data and statistical methods to assess financial performance and investment opportunities. This approach employs various statistical tools to analyze trends, forecast future movements, and make data-driven decisions in financial markets.

While relying on statistics is a core component of Quantitative Analysis, the other options do not accurately capture its essence. For instance, the approach does not depend on qualitative data, as stated in the first choice. It also doesn't specifically focus on industry trends, which can be a part of qualitative analysis rather than quantitative. Additionally, while moving averages may be used in quantitative strategies, they represent just one of many tools available to a quantitative analyst, rather than defining the whole characteristic of the methodology.

By emphasizing a statistical approach, Quantitative Analysis stands apart as a data-centric method for evaluating investment opportunities.